Wednesday, 15 March 2017

Discrete Fourier Transform spectrum


In the second experiment we study the magnitude spectrum of DFT signal. The discrete Fourier transform takes in data and gives out the frequencies that the data contains.
This is useful if you want to analyze data, but can also be useful if you want to modify the frequencies then use the inverse discrete Fourier transform to generate the frequency modified data.
The shape of the time domain waveform is not important in these signals; the key information is in the frequency, phase and amplitude of the component sinusoidal.
The DFT is used to extract this information.
Posted by at

9 comments:

  1. Blogsforlife15 March 2017 at 18:21

    DFT is better over DTFT becz it gives discrete output in both time and frequency domain so DFT(advance DCT) is mostly use for data compression

    ReplyDelete
  2. Unknown16 March 2017 at 00:52

    Well written

    ReplyDelete
  3. Meet Patel16 March 2017 at 09:13

    Nice.

    ReplyDelete
  4. Unknown26 April 2017 at 00:14

    Spacing between the values reduces as the value of N increases. By appending the input sequence by zeros the resolution error reduces.

    ReplyDelete
  5. Unknown26 April 2017 at 06:42

    detailed concept

    ReplyDelete
  6. Unknown26 April 2017 at 06:55

    well explained

    ReplyDelete
  7. Unknown26 April 2017 at 07:04

    innovative content

    ReplyDelete
  8. Unknown26 April 2017 at 07:28

    The DFT is used to extract this information.

    ReplyDelete
  9. Unknown26 April 2017 at 09:47

    Well explained

    ReplyDelete

Subscribe to: Post Comments (Atom)